From the course: Using AI with Filemaker Pro

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Understanding insert embeddings

Understanding insert embeddings - FileMaker Pro Tutorial

From the course: Using AI with Filemaker Pro

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Understanding insert embeddings

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- [Instructor] Before implementing the semantics search functionality into your custom app, you must first select the data that you want to target from the database, and then you create something called embedded data. Embedded data refers to a transformed representation of the raw data, which could be text, images, or other inputs, that gets converted into numerical vectors. These capture the semantic meaning or features of the original data. At the time of this recording, these are the models that are supported by some of the script steps we're going to talk about in FileMaker version 21. Your version may have more support, but these are the ones that we're going to focus on. Specifically, we're going to use the OpenAI model in our exercises. So let's take a look at some of the script steps that leverage these models and create embeddings. You can use the insert embedding script step to generate a vector representation of input text using one of the supported embedding models that we…

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